WO2015089255A1 - Derivation of sea ice thickness using isostacy and upward looking sonar profiles - Google Patents

Derivation of sea ice thickness using isostacy and upward looking sonar profiles Download PDF

Info

Publication number
WO2015089255A1
WO2015089255A1 PCT/US2014/069676 US2014069676W WO2015089255A1 WO 2015089255 A1 WO2015089255 A1 WO 2015089255A1 US 2014069676 W US2014069676 W US 2014069676W WO 2015089255 A1 WO2015089255 A1 WO 2015089255A1
Authority
WO
WIPO (PCT)
Prior art keywords
undersea
sea
total thickness
sea ice
data points
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2014/069676
Other languages
French (fr)
Inventor
Khalid A. Soofi
Dom P. Berta
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ConocoPhillips Co
Original Assignee
ConocoPhillips Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ConocoPhillips Co filed Critical ConocoPhillips Co
Publication of WO2015089255A1 publication Critical patent/WO2015089255A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/02Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
    • G01B21/08Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness for measuring thickness
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/86Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • G01S13/862Combination of radar systems with sonar systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/89Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
    • G01S13/9021SAR image post-processing techniques
    • G01S13/9023SAR image post-processing techniques combined with interferometric techniques
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88Sonar systems specially adapted for specific applications
    • G01S15/885Meteorological systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88Sonar systems specially adapted for specific applications
    • G01S15/89Sonar systems specially adapted for specific applications for mapping or imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/89Lidar systems specially adapted for specific applications for mapping or imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/4802Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/539Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section

Definitions

  • This invention relates to apparatus and method for characterizing sea ice and, in particular, to estimating a thickness of the sea ice.
  • Ice floes can have dimensions that range from tens of meters to several kilometers and an associated mass. Drifting sea ice with such a large mass can pose significant problems to hydrocarbon production platforms in those regions subjected to ice floes. Accordingly, there is a need to accurately model ice floes in order to study them to increase understanding of their dynamics and ice load distributions, and further understand the forces they may impact on the production platforms.
  • a method for estimating a total thickness of sea ice floating in sea water having a sea water level includes obtaining a set of surface topographic data points of the sea ice representing elevation of those surface topographic data points with reference to a sea water level using a surface topography acquisition system, and estimating, using a processor, the total thickness of the sea ice above and below the sea water level using the elevation of each of the points.
  • FIG. 1 depicts aspects of generating a total thickness profile of sea ice that includes a surface profile and an undersea profile
  • FIG. 2 depicts aspects of measuring the surface topography of the sea ice using small aperture radar
  • FIG. 3 is one example of a flow chart for a method for estimating a total thickness of sea ice floating in sea water having a sea water level.
  • the sea ice having a density that is less than the density of the sea water that it is in floats in the sea water and has a portion that is above the surface of the sea water and another portion that is below the surface of the sea water.
  • the method and apparatus relate to generating a surface thickness profile, referred to as the surface profile, of the surface portion of the sea ice and an undersea thickness profile, referred to as the undersea profile, of the undersea portion of the sea ice.
  • the surface profile and the undersea profile are then combined using a processor to generate the total thickness profile.
  • a surface topography acquisition system (STAS) 2 is positioned above the sea ice and is configured to acquire surface data that can be processed by a processing system 3 to generate a surface profile 4 of the sea ice.
  • the locations of the satellites are precisely known so that the data points representing the above- water surface of the sea ice are registered to corresponding specific locations in three dimensions.
  • the locations may be represented by Cartesian coordinates, X-Y-Z, with the X-Y plane being the surface of the sea water. Other three dimensional coordinates may be used and converted to the Cartesian coordinates using known geometric relationships.
  • the X, Y, and Z axes are illustrated in FIG. 1.
  • the surface profile 4 relates to the height (i.e., Z-coordinate as illustrated in FIG. 1) of the sea ice above the surface of the sea water.
  • the surface topography acquisition system 2 includes a first synthetic-aperture radar (SAR) satellite that is closely spaced to a second SAR satellite. Using a phase relationship between the data acquired by the first SAR satellite and the second SAR satellite and the geometry of the satellites and the sea ice, the topography of the sea ice can be determined as discussed in further detail below.
  • Non-limiting embodiments of SAR satellites are ESA-ERS and ESA-ENVISAT of the European Space Agency.
  • the surface data may be acquired using other airborne or orbiting surface topology acquisition systems.
  • LIDAR is a remote sensing technology that measures distance by illuminating a target with a laser and analyzing the reflected light.
  • an undersea topography acquisition system (UTAS) 5 is positioned below the surface of the sea water and is configured acquire undersea data that can be processed by the processing system 3 to generate an undersea profile 6 of the sea ice.
  • the undersea topography acquisition system 5 includes an upward looking Sonar 7 tethered to the sea floor in a precisely known location.
  • the upward looking Sonar 7 is configured to measure the undersea topography of the sea ice by emitting an acoustic pulse upward that is reflected by the underside of the sea ice and travels back to the Sonar 7.
  • the distance from the Sonar 7 to the underside of the sea ice can be calculated using the speed of sound in the sea water.
  • the depth of the sea ice is thus the depth of the Sonar 7 minus the distance from the Sonar 7 to the underside of the sea ice.
  • the data points representing the below-water surface of the sea ice are registered to corresponding specific locations in three dimensions.
  • the locations may be represented by Cartesian coordinates, X-Y-Z, with the X-Y plane being the surface of the sea water. Other three dimensional coordinates may be used and converted to the Cartesian coordinates using known geometric relationships.
  • the undersea profile 5 relates to the depth (i.e., Z-coordinate as illustrated in FIG. 1) of the sea ice below the surface of the sea water.
  • the upward looking Sonar 7 is configured to emit four 300 kHz acoustic pulses every three minutes. With an aperture angle of 2° and a nominal depth of 50 meters (m), the sonar beam covers a footprint on the underside of the sea ice of radius 1.75 m.
  • the UTAS 5 may also include a pressure transducer 8 configured to monitor the depth of the Sonar 7.
  • a pressure transducer 8 configured to monitor the depth of the Sonar 7.
  • the Sonar 7 may be attached to an undersea vehicle 9, which may be manned or unmanned.
  • the precise location of the undersea vehicle may be determined while it acquires topography data of the underside of the sea ice by use of an undersea navigation system such as an inertial guidance system or by use of an acoustic location system that includes acoustic beacons on the sea floor. Accordingly, the location of the undersea vehicle (e.g., in the X-Y plane) may be registered to the corresponding data as the vehicle acquires the data with the sonar providing the depth of the sea ice along the Z-axis.
  • the total thickness of the sea ice may be estimated from the surface topography using an isostasy method.
  • the isostasy method is based on the principle of buoyancy where the sea ice immersed in sea water is buoyed with a force equal to the weight of the displaced sea water. Hence, assuming approximately constant sea ice density, the volume of sea ice and associated depth necessary to support the amount of sea ice above the sea water level may be calculated.
  • the STAS 2 obtains data points delineating the surface topography of the sea ice above the sea water level and the UTAS 5 obtains data points delineating the topography of the sea ice surface below the sea water level.
  • the data points are three-dimensional coordinates, which may include x-y-z coordinates where the x-y plane is the plane of the sea water level and the z coordinate represents elevation above the sea water level or depth below the sea water level.
  • the processing system 3 processes these data points to provide a total thickness of the sea ice from below the sea water level to above the sea water level.
  • the elevation of one STAS data point is added to the depth of one UTAS data point when those data points have the same x-y coordinates in order to calculate the total thickness of the sea ice at that x-y coordinate.
  • an STAS data point may not line up exactly with a UTAS data point in the x-y plane.
  • the elevation and the depth may be added as long as the x-y coordinate of the STAS data point and the UTAS data point are within a selected range or distance of each other such as being within a distance of each other that is less than half the distance to the next adjacent STAS or UTAS data point.
  • an elevation of a STAS data point and/or a depth of a UTAS data point may be interpolated from adjacent data points in order get the x-y values of elevation and depth to line up with each other.
  • Al and A2 are two radar antennas on the SAR satellites that simultaneously view the same surface of the sea ice and are separated by a baseline vector B with length B and angle a with respect to a horizontal reference.
  • Antenna Al is located at height h above the level of the sea water.
  • the distance between antenna Al and the point to be imaged of the surface of the sea ice is the range p, while ⁇ + ⁇ is the distance between antenna A2 and the same point on the surface of the sea ice.
  • the goal is to determine the elevation z at points on the surface of the sea ice.
  • the topography or elevation z(y) can be inferred from a phase measurement to a precision of several meters and is calculated using equation (1) where ⁇ is the look angel of the radar antenna Al and is the known height of antenna Al .
  • z(y) h - pcos0 (1)
  • a SAR interferogram viewed as a fringe pattern, shows the relative difference between phases of the two images obtained by Al and A2.
  • the phase difference ⁇ depends on the geometry of the tracks of the two antennas and the image point and thus is proportional to the difference in path times (or delays) from the two antennas imaging the same point and is given by equation (2) where ⁇ is the wavelength of the radar waves.
  • 4 ⁇ ( ⁇ - ( ⁇ + ⁇ )) / ⁇ (2)
  • the interferometric processing steps that are generally followed are (a) selection of a suitable pair of SAR images, (b) geometric registration of the images, (c) interferogram generation based on the two images, (d) phase unwrapping of the interferogram, and (e) extraction of elevations from the phases.
  • FIG. 3 is a flow chart for one example of a method 30 for estimating a total thickness of sea ice floating in sea water having a sea water level.
  • Block 31 calls for obtaining a set of surface topographic data points of the sea ice representing elevation of those surface topographic data points with reference to the sea water level using a surface topography acquisition system.
  • the surface topography acquisition system may include SAR or LIDAR in airborne or orbital applications in non-limiting embodiments.
  • Block 32 calls for obtaining a set of undersea topographic data points of the sea ice representing depth of those undersea topographic data points with reference to the sea water level using an undersea topography acquisition system.
  • Block 33 calls for estimating, using a processor, the total thickness of the sea ice above and below the sea water level using (i) the elevation of each of the surface topographic data points and (ii) the depth of each of the undersea topographic data points.
  • the method 30 may also include calculating the total thickness of the sea ice using just the (i) the elevation of each of the surface topographic data points by using an isostasy method based on the buoyancy of the sea ice.
  • the method 30 may also include cross-checking or comparing (a) the estimated total thickness of the sea ice determined using the isostasy method to (b) the estimated total thickness of the sea ice using both the surface topographic data points and the undersea topographic data points.
  • the cross-checking may provide a level of quality assurance to the estimated total thickness.
  • the cross-checking includes providing an alert to a user, using a user interface such as a display, when a difference between the estimated total thickness from (a) and the estimated total thickness from (b) exceeds a selected threshold value.
  • the threshold value is selected to provide a desired level of quality assurance.
  • the method 30 may also include displaying the total thickness of sea ice at one or more points to a user using a display.
  • the total thickness of the sea ice may be displayed as a cross-sectional profile along a line of points selected by the user.
  • the line can be a straight line or a curved line.
  • various analysis components may be used, including a digital and/or an analog system.
  • the processing system 3 may include digital and/or analog systems.
  • the system may have components such as a processor, storage media, memory, input, output, communications link (wired, wireless, optical or other), user interfaces, display, software programs, signal processors (digital or analog) and other such components (such as resistors, capacitors, inductors and others) to provide for operation and analyses of the apparatus and methods disclosed herein in any of several manners well- appreciated in the art.
  • a power supply e.g., at least one of a generator, a remote supply and a battery
  • cooling component heating component
  • controller optical unit, electrical unit or electromechanical unit

Landscapes

  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Acoustics & Sound (AREA)
  • Electromagnetism (AREA)
  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)

Abstract

A method for estimating a total thickness of sea ice floating in sea water having a sea water level includes obtaining a set of surface topographic data points of the sea ice representing elevation of those surface topographic data points with reference to a sea water level using a surface topography acquisition system, and estimating, using a processor, the total thickness of the sea ice above and below the sea water level using the elevation of each of the points.

Description

DERIVATION OF SEA ICE THICKNESS USING ISOSTACY AND UPWARD
LOOKING SONAR PROFILES
FIELD OF THE INVENTION
[0001] This invention relates to apparatus and method for characterizing sea ice and, in particular, to estimating a thickness of the sea ice.
BACKGROUND OF THE INVENTION
[0002] As land based hydrocarbon reservoirs become depleted, reserves in more remote and hostile locations of the earth are being explored. Many of these new locations are marine based and include cold regions such as the Arctic and Antarctic regions. These regions can be very cold especially in the winter time. Cold temperature can cause the formation of sea ice and ice floes, which is sea ice that drifts due to ocean currents and wind. It is noted that in many regions such as the North Atlantic and the Baltic, sea floes are traditionally a seasonal event, appearing in winter and vanishing in warmer seasons.
[0003] Ice floes can have dimensions that range from tens of meters to several kilometers and an associated mass. Drifting sea ice with such a large mass can pose significant problems to hydrocarbon production platforms in those regions subjected to ice floes. Accordingly, there is a need to accurately model ice floes in order to study them to increase understanding of their dynamics and ice load distributions, and further understand the forces they may impact on the production platforms.
SUMMARY OF THE INVENTION
[0004] In one embodiment, a method for estimating a total thickness of sea ice floating in sea water having a sea water level is disclosed. The method includes obtaining a set of surface topographic data points of the sea ice representing elevation of those surface topographic data points with reference to a sea water level using a surface topography acquisition system, and estimating, using a processor, the total thickness of the sea ice above and below the sea water level using the elevation of each of the points. BRIEF DESCRIPTION OF THE DRAWINGS
[0005] The invention, together with further advantages thereof, may best be understood by reference to the following description taken in conjunction with the accompanying figures by way of example and not by way of limitation, in which:
[0006] FIG. 1 depicts aspects of generating a total thickness profile of sea ice that includes a surface profile and an undersea profile;
[0007] FIG. 2 depicts aspects of measuring the surface topography of the sea ice using small aperture radar; and
[0008] FIG. 3 is one example of a flow chart for a method for estimating a total thickness of sea ice floating in sea water having a sea water level.
DETAILED DESCRIPTION OF THE INVENTION
[0009] Reference will now be made in detail to embodiments of the invention, one or more examples of which are illustrated in the accompanying drawings. Each example is provided by way of explanation of the invention, not as a limitation of the invention. It will be apparent to those skilled in the art that various modifications and variation can be made in the present invention without departing from the scope or spirit of the invention. For instance, features illustrated or described as part of one embodiment can be used on another embodiment to yield a still further embodiment. Thus, it is intended that the present invention cover such modifications and variations that come within the scope of the appended claims and their equivalents.
[0010] Disclosed are method and apparatus for generating a total thickness profile of sea ice. The sea ice having a density that is less than the density of the sea water that it is in floats in the sea water and has a portion that is above the surface of the sea water and another portion that is below the surface of the sea water. The method and apparatus relate to generating a surface thickness profile, referred to as the surface profile, of the surface portion of the sea ice and an undersea thickness profile, referred to as the undersea profile, of the undersea portion of the sea ice. The surface profile and the undersea profile are then combined using a processor to generate the total thickness profile. [0011] Referring now to FIG.l, one embodiment of apparatus for generating the total thickness profile of sea ice is illustrated. In the embodiment of FIG. 1, a surface topography acquisition system (STAS) 2 is positioned above the sea ice and is configured to acquire surface data that can be processed by a processing system 3 to generate a surface profile 4 of the sea ice. The locations of the satellites are precisely known so that the data points representing the above- water surface of the sea ice are registered to corresponding specific locations in three dimensions. The locations may be represented by Cartesian coordinates, X-Y-Z, with the X-Y plane being the surface of the sea water. Other three dimensional coordinates may be used and converted to the Cartesian coordinates using known geometric relationships. The X, Y, and Z axes are illustrated in FIG. 1. The surface profile 4 relates to the height (i.e., Z-coordinate as illustrated in FIG. 1) of the sea ice above the surface of the sea water. In FIG. 1, the surface topography acquisition system 2 includes a first synthetic-aperture radar (SAR) satellite that is closely spaced to a second SAR satellite. Using a phase relationship between the data acquired by the first SAR satellite and the second SAR satellite and the geometry of the satellites and the sea ice, the topography of the sea ice can be determined as discussed in further detail below. Non-limiting embodiments of SAR satellites are ESA-ERS and ESA-ENVISAT of the European Space Agency. Alternatively, the surface data may be acquired using other airborne or orbiting surface topology acquisition systems. One example is LIDAR, which is a remote sensing technology that measures distance by illuminating a target with a laser and analyzing the reflected light.
[0012] Still referring to FIG. 1, an undersea topography acquisition system (UTAS) 5 is positioned below the surface of the sea water and is configured acquire undersea data that can be processed by the processing system 3 to generate an undersea profile 6 of the sea ice. In the embodiment of FIG. 1, the undersea topography acquisition system 5 includes an upward looking Sonar 7 tethered to the sea floor in a precisely known location. The upward looking Sonar 7 is configured to measure the undersea topography of the sea ice by emitting an acoustic pulse upward that is reflected by the underside of the sea ice and travels back to the Sonar 7. By measuring the time it takes for the pulse to return and knowing that the pulse makes a round trip, the distance from the Sonar 7 to the underside of the sea ice can be calculated using the speed of sound in the sea water. The depth of the sea ice is thus the depth of the Sonar 7 minus the distance from the Sonar 7 to the underside of the sea ice. Because the location of the UTAS 5 is precisely known, the data points representing the below-water surface of the sea ice are registered to corresponding specific locations in three dimensions. The locations may be represented by Cartesian coordinates, X-Y-Z, with the X-Y plane being the surface of the sea water. Other three dimensional coordinates may be used and converted to the Cartesian coordinates using known geometric relationships. The undersea profile 5 relates to the depth (i.e., Z-coordinate as illustrated in FIG. 1) of the sea ice below the surface of the sea water. In one or more embodiments, the depth represented by the Z-coordinate may be a negative number because Z=0 may represent the surface of the sea water with positive numbers representing heights of sea ice above the surface of the sea water. In one or more embodiments, the upward looking Sonar 7 is configured to emit four 300 kHz acoustic pulses every three minutes. With an aperture angle of 2° and a nominal depth of 50 meters (m), the sonar beam covers a footprint on the underside of the sea ice of radius 1.75 m. The UTAS 5 may also include a pressure transducer 8 configured to monitor the depth of the Sonar 7. One example of the UTAS 5 is the ES300 from Christian Michelsen Research of Bergen, Norway. As an alternative to the Sonar 7 being tethered to the sea floor, the Sonar 7 may be attached to an undersea vehicle 9, which may be manned or unmanned. The precise location of the undersea vehicle may be determined while it acquires topography data of the underside of the sea ice by use of an undersea navigation system such as an inertial guidance system or by use of an acoustic location system that includes acoustic beacons on the sea floor. Accordingly, the location of the undersea vehicle (e.g., in the X-Y plane) may be registered to the corresponding data as the vehicle acquires the data with the sonar providing the depth of the sea ice along the Z-axis.
[0013] In one or more embodiments, the total thickness of the sea ice may be estimated from the surface topography using an isostasy method. The isostasy method is based on the principle of buoyancy where the sea ice immersed in sea water is buoyed with a force equal to the weight of the displaced sea water. Hence, assuming approximately constant sea ice density, the volume of sea ice and associated depth necessary to support the amount of sea ice above the sea water level may be calculated. Assuming a complete isostatic compensation (i.e., free floating ice), the total thickness H of the sea ice may be calculated using Airy's formula:
Figure imgf000005_0001
where is the elevation of the sea ice above the sea water level, pw is the average density of the sea water, and /¾ is the average density of the sea ice. Assuming pw = 1.025 x 103 kg/m3 and /¾ = 0.91 x 103 kg/m3, variations in ice thickness in excess of 10 meters may be detected in one or more embodiments.
[0014] As discussed above, the STAS 2 obtains data points delineating the surface topography of the sea ice above the sea water level and the UTAS 5 obtains data points delineating the topography of the sea ice surface below the sea water level. The data points are three-dimensional coordinates, which may include x-y-z coordinates where the x-y plane is the plane of the sea water level and the z coordinate represents elevation above the sea water level or depth below the sea water level. The processing system 3 processes these data points to provide a total thickness of the sea ice from below the sea water level to above the sea water level. In one or more embodiments, the elevation of one STAS data point is added to the depth of one UTAS data point when those data points have the same x-y coordinates in order to calculate the total thickness of the sea ice at that x-y coordinate. In some situations an STAS data point may not line up exactly with a UTAS data point in the x-y plane. In these situations, the elevation and the depth may be added as long as the x-y coordinate of the STAS data point and the UTAS data point are within a selected range or distance of each other such as being within a distance of each other that is less than half the distance to the next adjacent STAS or UTAS data point. Alternatively, an elevation of a STAS data point and/or a depth of a UTAS data point may be interpolated from adjacent data points in order get the x-y values of elevation and depth to line up with each other.
[0015] Synthetic Aperture Radar interferometric processing to derive the topography of the sea ice is now discussed in more detail referring to FIG. 2. In FIG. 2, Al and A2 are two radar antennas on the SAR satellites that simultaneously view the same surface of the sea ice and are separated by a baseline vector B with length B and angle a with respect to a horizontal reference. Antenna Al is located at height h above the level of the sea water. The distance between antenna Al and the point to be imaged of the surface of the sea ice is the range p, while ρ+δρ is the distance between antenna A2 and the same point on the surface of the sea ice. The goal is to determine the elevation z at points on the surface of the sea ice. The topography or elevation z(y) can be inferred from a phase measurement to a precision of several meters and is calculated using equation (1) where Θ is the look angel of the radar antenna Al and is the known height of antenna Al . z(y) = h - pcos0 (1)
[0016] A SAR interferogram, viewed as a fringe pattern, shows the relative difference between phases of the two images obtained by Al and A2. The phase difference φ depends on the geometry of the tracks of the two antennas and the image point and thus is proportional to the difference in path times (or delays) from the two antennas imaging the same point and is given by equation (2) where λ is the wavelength of the radar waves. φ = 4π(ρ - (ρ+δρ)) / λ (2)
To determine z, the interferometric processing steps that are generally followed are (a) selection of a suitable pair of SAR images, (b) geometric registration of the images, (c) interferogram generation based on the two images, (d) phase unwrapping of the interferogram, and (e) extraction of elevations from the phases.
[0017] FIG. 3 is a flow chart for one example of a method 30 for estimating a total thickness of sea ice floating in sea water having a sea water level. Block 31 calls for obtaining a set of surface topographic data points of the sea ice representing elevation of those surface topographic data points with reference to the sea water level using a surface topography acquisition system. The surface topography acquisition system may include SAR or LIDAR in airborne or orbital applications in non-limiting embodiments. Block 32 calls for obtaining a set of undersea topographic data points of the sea ice representing depth of those undersea topographic data points with reference to the sea water level using an undersea topography acquisition system. Block 33 calls for estimating, using a processor, the total thickness of the sea ice above and below the sea water level using (i) the elevation of each of the surface topographic data points and (ii) the depth of each of the undersea topographic data points. The method 30 may also include calculating the total thickness of the sea ice using just the (i) the elevation of each of the surface topographic data points by using an isostasy method based on the buoyancy of the sea ice. The method 30 may also include cross-checking or comparing (a) the estimated total thickness of the sea ice determined using the isostasy method to (b) the estimated total thickness of the sea ice using both the surface topographic data points and the undersea topographic data points. The cross-checking may provide a level of quality assurance to the estimated total thickness. In one or more embodiments, the cross-checking includes providing an alert to a user, using a user interface such as a display, when a difference between the estimated total thickness from (a) and the estimated total thickness from (b) exceeds a selected threshold value. The threshold value is selected to provide a desired level of quality assurance. The method 30 may also include displaying the total thickness of sea ice at one or more points to a user using a display. The total thickness of the sea ice may be displayed as a cross-sectional profile along a line of points selected by the user. The line can be a straight line or a curved line.
[0018] In support of the teachings herein, various analysis components may be used, including a digital and/or an analog system. For example, the processing system 3 may include digital and/or analog systems. The system may have components such as a processor, storage media, memory, input, output, communications link (wired, wireless, optical or other), user interfaces, display, software programs, signal processors (digital or analog) and other such components (such as resistors, capacitors, inductors and others) to provide for operation and analyses of the apparatus and methods disclosed herein in any of several manners well- appreciated in the art. It is considered that these teachings may be, but need not be, implemented in conjunction with a set of computer executable instructions stored on a non-transitory computer readable medium, including memory (ROMs, RAMs), optical (CD-ROMs), or magnetic (disks, hard drives), or any other type that when executed causes a computer to implement the method of the present invention. These instructions may provide for equipment operation, control, data collection and analysis and other functions deemed relevant by a system designer, owner, user or other such personnel, in addition to the functions described in this disclosure.
[0019] Further, various other components may be included and called upon for providing for aspects of the teachings herein. For example, a power supply (e.g., at least one of a generator, a remote supply and a battery), cooling component, heating component, magnet, electromagnet, sensor, electrode, transmitter, receiver, transceiver, antenna, controller, optical unit, electrical unit or electromechanical unit may be included in support of the various aspects discussed herein or in support of other functions beyond this disclosure. [0020] Elements of the embodiments have been introduced with either the articles "a" or
"an." The articles are intended to mean that there are one or more of the elements. The terms "including" and "having" are intended to be inclusive such that there may be additional elements other than the elements listed. The conjunction "or" when used with a list of at least two terms is intended to mean any term or combination of terms.
[0021] The preferred forms of the invention described above are to be used as illustration only, and should not be used in a limiting sense to interpret the scope of the present invention. Modifications to the exemplary embodiments, set forth above, could be readily made by those skilled in the art without departing from the spirit of the present invention.

Claims

CLAIMS What is claimed is:
1. A method for estimating a total thickness of sea ice floating in sea water having a sea water level, the method comprising: obtaining a set of surface topographic data points of the sea ice representing elevation of those surface topographic data points with reference to the sea water level using a surface topography acquisition system; and estimating, using a processor, the total thickness of the sea ice above and below the sea water level using the elevation of each of the points.
2. The method according to claim 1, wherein the surface topographic acquisition system comprises at least one of an airborne or orbit based synthetic aperture radar system or LIDAR system.
3. The method according to claim 1, wherein estimating comprises calculating the total thickness of the sea ice using an isostasy method to process the set of surface topographic data points.
4. The method according to claim 3, wherein estimating further comprises solving:
where H is the total thickness of the sea ice, ¾ is the elevation of the sea ice above the sea water level, pw is the average density of the sea water, and /¾ is the average density of the sea ice.
5. The method according to claim 1, further comprising: obtaining a set of undersea topographic data points of the sea ice representing depth of those undersea topographic data points with reference to the sea water level using an undersea topography acquisition system; and wherein estimating further comprises using the depth of each of the undersea topographic data points to estimate the total thickness of the sea ice.
6. The method according to claim 5, wherein the surface topographic data points and the undersea data points comprise three-dimensional coordinates x, y, z with the x-y plane being in the plane of the sea water level.
7. The method according to claim 6, wherein estimating further comprises summing the elevation of one surface topographic data point and the depth of one corresponding undersea topographic data point when the x and y coordinates of those data points are within a selected distance from each other.
8. The method according to claim 7, wherein the selected distance is less than one- half the distance to a next adjacent surface or undersea topographic data point in the x-y plane.
9. The method according to claim 6, wherein estimating further comprises at least one of (a) interpolating values between adjacent surface topographic data points to provide an interpolated surface elevation value and (b) interpolating values between adjacent undersea topographic data points to provide an interpolated depth value in order to provide a surface topographic elevation value and an undersea topographic depth value having the same x-y coordinates.
10. The method according to claim 9, wherein estimating further comprises summing A and B for the same x-y coordinates where A is one of a surface elevation and an interpolated surface elevation value and B is one of an undersea depth and an interpolated undersea depth value.
11. The method according to claim 5, wherein the undersea topography acquisition system comprises an upward looking sonar configured to measure a distance between the sonar and the underside surface of the sea ice below the sea water level.
12. The method according to claim 11, wherein the undersea topography acquisition system comprises a pressure sensor configured to sense a depth of the sonar.
13. The method according to claim 11, wherein the undersea topography acquisition system is at least one of tethered to a sea floor beneath the sea ice and disposed on an undersea vehicle.
14. The method according to claim 1, further comprising displaying the total thickness of sea ice at one or more points to a user using a display.
15. The method according to claim 14, wherein displaying comprises displaying a cross-sectional profile of the total thickness of the sea ice along a line of points selected by the user.
16. The method according to claim 1, wherein estimating comprises (i) estimating a first total thickness using the elevations of the surface topographic data points and an isostasy method and (ii) estimating a second total thickness using the elevations of the surface topographic data points and depths of undersea topographic data points.
17. The method according to claim 16, cross-checking the first estimated total thickness against the second estimated total thickness.
18. The method according to claim 17, wherein cross-checking comprises providing an alert to a user using a user-interface when a difference between the first estimated total thickness and the second estimated total thickness exceeds a selected threshold value.
PCT/US2014/069676 2013-12-11 2014-12-11 Derivation of sea ice thickness using isostacy and upward looking sonar profiles Ceased WO2015089255A1 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201361914565P 2013-12-11 2013-12-11
US61/914,565 2013-12-11
US14/564,479 2014-12-09
US14/564,479 US20150160006A1 (en) 2013-12-11 2014-12-09 Derivation of sea ice thickness using isostacy and upward looking sonar profiles

Publications (1)

Publication Number Publication Date
WO2015089255A1 true WO2015089255A1 (en) 2015-06-18

Family

ID=53270813

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2014/069676 Ceased WO2015089255A1 (en) 2013-12-11 2014-12-11 Derivation of sea ice thickness using isostacy and upward looking sonar profiles

Country Status (2)

Country Link
US (1) US20150160006A1 (en)
WO (1) WO2015089255A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111678579A (en) * 2020-06-04 2020-09-18 中国电力工程顾问集团西南电力设计院有限公司 Device for automatically measuring ice coating weight of analog lead

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11131789B2 (en) * 2017-03-03 2021-09-28 International Business Machines Corporation Ice formation and ice depth estimation system
CN109215454B (en) * 2018-07-12 2020-09-25 哈尔滨工程大学 Synthesizer for manufacturing polystyrene small ball-paraffin base non-freezing model ice
CN109447993A (en) * 2018-10-25 2019-03-08 哈尔滨工程大学 A kind of sea ice image partition method based on mixing true and false sample strategy
CN109829569B (en) * 2019-01-11 2020-07-07 中国海洋大学 Multivariate statistical prediction method for ice thickness of polar region fixed ice
CN113063360B (en) * 2021-03-15 2022-08-09 上海工程技术大学 Sea ice thickness estimation method based on single photon laser height measurement data
CN113360849B (en) * 2021-06-07 2022-03-18 上海工程技术大学 Sea ice density estimation method and system based on ICESat-2 data
CN116148841B (en) * 2022-12-28 2025-09-19 武汉理工大学 Sea ice early warning method and system based on sonar and radar data fusion
CN119478717A (en) * 2024-10-31 2025-02-18 武汉大学 Method and system for estimating the volume of Antarctic icebergs based on optical remote sensing images

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020161469A1 (en) * 2000-04-06 2002-10-31 Faulkner Lawrence Q. Hi-accuracy three-dimensional topographic modeling apparatus
US20080295599A1 (en) * 2007-03-19 2008-12-04 Mark Clasen Ice thickness measuring system
US20110291862A1 (en) * 2010-05-28 2011-12-01 Conocophillips Company Ice data collection system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3267416A (en) * 1964-02-25 1966-08-16 Leighton L Morse Ice profiling sonar system
US4697254A (en) * 1986-06-02 1987-09-29 Raytheon Company System and method for measuring ice thickness

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020161469A1 (en) * 2000-04-06 2002-10-31 Faulkner Lawrence Q. Hi-accuracy three-dimensional topographic modeling apparatus
US20080295599A1 (en) * 2007-03-19 2008-12-04 Mark Clasen Ice thickness measuring system
US20110291862A1 (en) * 2010-05-28 2011-12-01 Conocophillips Company Ice data collection system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
LYTHE ET AL.: "BEDMAP: A new ice thickness and subglacial topographic model of Antarctica", JOURNAL OF GEOPHYSICAL RESEARCH, 10 June 2001 (2001-06-10), Retrieved from the Internet <URL:http://onlinelibrary.wiley.com/doi/10.1029/2000JB900449/pdf> [retrieved on 20150223] *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111678579A (en) * 2020-06-04 2020-09-18 中国电力工程顾问集团西南电力设计院有限公司 Device for automatically measuring ice coating weight of analog lead
CN111678579B (en) * 2020-06-04 2021-09-28 中国电力工程顾问集团西南电力设计院有限公司 Device for automatically measuring ice coating weight of analog lead

Also Published As

Publication number Publication date
US20150160006A1 (en) 2015-06-11

Similar Documents

Publication Publication Date Title
US20150160006A1 (en) Derivation of sea ice thickness using isostacy and upward looking sonar profiles
RU2712969C2 (en) Method for remote measurement of ice thickness, method for remote measurement of ice strength, device for remote measurement of ice thickness, device for remote measurement of ice strength and remote measuring module
KR101027758B1 (en) DEM / DSM data generating apparatus and method for basin and riverbed using hybrid terrain data combined with aviation lidar and acoustic sounding
Enderlin et al. Estimates of iceberg submarine melting from high-resolution digital elevation models: application to Sermilik Fjord, East Greenland
KR102339500B1 (en) Method for providing recommended sea route based on electronic nautical chart by measuring topography and depth of water
KR101559488B1 (en) Method for manufacturing coastal fine-grid topographical map
CN102692217A (en) Method for measuring river channel by use of ground effect aircraft
KR101700044B1 (en) System and method for surveying 3-dimensional underwater topographic information using multiple gps receivers and echo sounder
KR20200042404A (en) A Navigation System
Stateczny et al. Precise bathymetry as a step towards producing bathymetric electronic navigational charts for comparative (terrain reference) navigation
Moulton et al. Improving the time resolution of surfzone bathymetry using in situ altimeters
CN112684207B (en) A deep-dive manned submersible ADCP velocity estimation and correction algorithm
Grządziel et al. Estimation of effective swath width for dual-head multibeam echosounder
JP2004170632A (en) 3D seafloor topographic data generator
Meduna et al. AUV terrain relative navigation using coarse maps
US20130041616A1 (en) Method of determining the position of a detector disposed at the bottom of the sea
Song et al. Underwater slope measurement using a tilted multibeam sonar head
CN114355474B (en) A normalization method for underwater multi-source detection data
CN111080788B (en) Submarine topography drawing method and device
Specht Multi-sensor integration of hydroacoustic and optoelectronic data acquired from UAV and USV vehicles on the inland waterbody
Prempraneerach et al. Hydrographical survey using point cloud data from laser scanner and echo sounder
US20240175687A1 (en) Map data structure, storage device, information processing device, program, and storage medium
RU2681249C1 (en) Water reservoirs bottom depth and relief changes prediction method
Heeto et al. Creating a bathymetric contour map using acoustic Doppler current profiler (ADCP): Duhok Dam reservoir as a case study
Shin et al. A study on airborne LiDAR calibration and operation techniques for bathymetric survey

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14869902

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 14869902

Country of ref document: EP

Kind code of ref document: A1